Motion onset VEPs can see through the blur

Motion-onset visual evoked potentials (MO VEPs) are robust to dioptric blur when low contrast and low spatial frequency patterns are used for stimulation. To reveal mechanisms of MO VEPs robustness, we studied whether the resistance to defocus persists even when using a high-contrast checkerboard using digital defocus in the emmetropic eyes of 13 subjects (males 20–60 years). We compared the dominant components of MO VEPs to pattern-reversal VEPs (PR VEP), which are sensitive to the blur. For stimulation, we used checkerboard patterns with 15´ and 60´ checks. To defocus the checkerboard, we rendered it with a second-order Zernike polynomial (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${Z}_{2}^{0}$$\end{document}Z20) with an equivalent defocus of 0, 2, or 4 D. For PR VEP, the checkerboards were reversed in terms of their contrast. To evoke MO VEP, the checkerboard of 60´ checks moved for 200 ms with a speed of 5 or 10 deg/s in the cardinal directions. The MO VEP did not change in peak time (P ≥ 0.0747) or interpeak amplitude (P > 0.0772) with digital blur. In contrast, for PR VEP, the results showed a decrease in interpeak amplitude (P ≤ 6.65ˑ10-4) and an increase in peak time (P ≤ 0.0385). Thus, we demonstrated that MO VEPs evoked by checkerboard, structure containing high spatial content, can be robust to defocus.

The position of the channel on the scalpvalue is not relevant in our files.o index of channel in set: The index of the channel in the set of all channels.o Marker Information: For each channel, there are several markers, each with: • Marker index: The index of the markervalue is not relevant in our files.• Marker latency: The latency of the markervalue is not relevant in our files.
• reserved fields: Twelve zeros.o Samples: The actual VEP data is stored as a series of samples.For each for each sample, there is a sample value that represents the recorded voltage at that point in time.

Table S1 -
Peak time values [ms] for P100 positivity (for PR VEP) and N2 negativity (for MO VEP).Each value in the table is always the arithmetic mean of two measured values for each stimulation and for each digital blur value.Values in this table marked NaN are non-detectable values from PR 15´, Blur 4 records.

List of figures in digital_blur_stimuli.zip The
. Kordek 1 , L. K. Young 2 , P. Voda 1 , J. Kremlacek 1 1 Department of Medical Biophysics.Faculty of Medicine in Hradec Kralove.Charles University.Hradec Kralove.Czech RepublicThe VEP data were exported from TruTrace (ver 7.11, Deymed Ltd.Czech Republic) as a segmented ASCII text file.The file contains numbers separated by a tabulator.Every file includes averaged Visual Evoked Potential (VEP) traces recorded from 6 unipolar channels (Ol, Oz, Or, Fz, Cz, Pzreference A2) and one bipolar channel (Oz-Fz) for a single subject and one condition (see the table below).Data were sampled at 6250 Hz.Recording began in 2061 and ended with 6248 samples after the trigger.The side of the stimulation/recording (1=right, 2=left)value is not relevant in our files.
resolution of all images is 1024 × 768 px.Motion onset VEPs can see through the blur.D2 Biosciences Institute.Newcastle University.Newcastle.UK Description of VEP_raw_data.zipcontent Here's a breakdown of the file structure: 1. Header Information: The file begins with some general settings and parameters for the data: o reserved fields: Two zeros.o bits per unit: Max size of the packetvalue is not relevant in our files.o sampling frequency: The rate at which the data was collected.o notch filter frequency: The frequency used for notch filtering to remove power line interference.o first sample position: The position in the data where the first sample is locatedvalue is not relevant in our files.o signal start sample and signal end sample: The range of the data that contains the signal of interest.o channels count: The number of channels used in the data collection.2. Channel Information: For each channel, the file contains: o trigger count: The number of triggers in the data.o examination type: The type of examination performervalue is not relevant in our files.o side: o channel position: